exog (array-like) – A nobs x k array where nobs is the number of observations and k
is the number of regressors. An intercept is not included by default
and should be added by the user. See
statsmodels.tools.add_constant.

exog_infl (array_like or None) – Explanatory variables for the binary inflation model, i.e. for
mixing probability model. If None, then a constant is used.

offset (array_like) – Offset is added to the linear prediction with coefficient equal to 1.

exposure (array_like) – Log(exposure) is added to the linear prediction with coefficient
equal to 1.

inflation (string, 'logit' or 'probit') – The model for the zero inflation, either Logit (default) or Probit

missing (str) – Available options are ‘none’, ‘drop’, and ‘raise’. If ‘none’, no nan
checking is done. If ‘drop’, any observations with nans are dropped.
If ‘raise’, an error is raised. Default is ‘none.’